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首页> 外文期刊>Acta Biotheoretica >Self-programming machines (II):network of self-programming machines driving an ashby homeostat
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Self-programming machines (II):network of self-programming machines driving an ashby homeostat

机译：自编程机器（II）：驱动Ashby恒压器的自编程机器网络

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The progress in artificial intelligence enables us to conceive adaptive systems whose characteristics are nearer and nearer to those of living beings.These characteristics though depend on ingenious choices by the designer of these systems:Initial conditions,parameters,optimisation functions,gradient and measure of fitness within the environment.Nevertheless,in living systems which are non-finalist,there are no programmers or designers to conceive of such ingenious choices.Our paper "Self-Programming Machines (I)" presents a non-finalist model since initial states and functions are randomly choen at the beginning and once and for all.In spite of the fact that they are non-finalist,these machines always stabilise at fixed points when they are connected to an external process.This paper studies the dynamics of amono-layered network of self-programming machines driving a real device,"the Ashby homeostat",and shows the striking properties of such networks.Tis system stabiises only at fixed points even if it is subjected to small perturbations or intentional breakdowns such as a reversal of power supply or disconnection of one or several motors.
机译：人工智能的进步使我们能够设计出适应性系统，其特征越来越接近于生物。这些特征取决于系统设计者的巧妙选择：初始条件，参数，优化功能，梯度和适应度但是，在非决赛选手的生活系统中，没有程序员或设计师可以构思这种巧妙的选择。我们的论文《自编程机器（I）》提出了一种非决赛选手的模型，因为它具有初始状态和功能尽管它们不是最终用户，但这些机器在连接到外部过程时始终稳定在固定点上。本文研究了单层网络的动力学驱动实际设备“ Ashby稳压器”的自编程机器，并显示了此类网络的惊人特性。该系统仅在固定时稳定即使受到小的干扰或故意的故障（例如电源中断或一台或多台电动机的断开），也可能会导致故障。

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